Multiple biometric authentication for personal identity using wearable device

In this paper, we propose to integrate fingerprint and ECG authentification implemented on wearable devices for personal identify. The identification rate of fingerprint authentication is 96%, ECG authentication with fixed threshold method and variable threshold method are 92.6% and 95.9% respectively. We have combined fingerprint and ECG authentication as a novel multiple authentication method. Meanwhile, we have reduced the complexity of algorithms and used less ECG wave range in order to implement on wearable devices. The identification rate has been up to 92% to achieve high accuracy and high security goal using wearable devices.

[1]  Stanislaw Osowski,et al.  Support vector machine-based expert system for reliable heartbeat recognition , 2004, IEEE Transactions on Biomedical Engineering.

[2]  B. S. Yarman,et al.  A novel human identification system based on electrocardiogram features , 2013, International Symposium on Signals, Circuits and Systems ISSCS2013.

[3]  Yu Hen Hu,et al.  One-lead ECG for identity verification , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[4]  Chih-Yu Hsu,et al.  A Novel Personal Identity Verification Approach Using a Discrete Wavelet Transform of the ECG Signal , 2008, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008).

[5]  Ana L. N. Fred,et al.  ECG biometrics: A template selection approach , 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[6]  Ola Pettersson,et al.  ECG analysis: a new approach in human identification , 2001, IEEE Trans. Instrum. Meas..

[7]  L. Biel,et al.  ECG analysis: a new approach in human identification , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[8]  Stanislaw Osowski,et al.  ECG beat recognition using fuzzy hybrid neural network , 2001, IEEE Trans. Biomed. Eng..

[9]  W. Todd Scruggs,et al.  Fusing face and ECG for personal identification , 2003, 32nd Applied Imagery Pattern Recognition Workshop, 2003. Proceedings..